End-to-End Architecture - Requirements Engineer/End-to-Endアーキテクチャ・要件定義エンジニア

At Quest Global, it’s not just what we do but how and why we do it that makes us different. With over 25 years as an engineering services provider, we believe in the power of doing things differently to make the impossible possible. Our people are driven by the desire to make the world a better place—to make a positive difference that contributes to a brighter future. We bring together technologies and industries, alongside the contributions of diverse individuals who are empowered by an intentional workplace culture, to solve problems better and faster.

［業務内容］Key Responsibilities

• SDV向けEnd-to-Endシステムアーキテクチャ設計
• GenAIおよび画像・映像データを活用した車載サービス要件の定義
• 車載ECU、センサー、クラウド、モバイルアプリ間を横断した機能設計
• ADAS/AD、Cabin AI、Driver Monitoring等のAI機能に関する技術要件整理
• OTA（Over-the-Air）アップデートを前提としたソフトウェアアーキテクチャ設計
• 車両データ収集・解析基盤およびMLOps/DataOpsアーキテクチャの策定
• OEM、Tier1、クラウドベンダー、AI開発チームとの技術折衝・要件調整
• 機能安全（ISO 26262）およびサイバーセキュリティ（ISO/SAE 21434）を考慮した設計推進
• システム要求からソフトウェア要求へのブレークダウンおよびトレーサビリティ管理
• 次世代車載UXやAIエージェント活用に向けた技術戦略立案

• Design end-to-end system architectures for Software Defined Vehicles (SDV)
• Define requirements for in-vehicle services leveraging Generative AI and image/video data
• Design cross-domain functionalities spanning ECUs, sensors, cloud platforms, and mobile applications
• Define technical requirements for AI-driven functions such as ADAS/AD, Cabin AI, and Driver Monitoring Systems
• Design software architecture optimizes for OTA (Over-the-Air) updates and lifecycle management
• Define vehicle data platforms and MLOps/DataOps architectures for continuous AI improvement
• Collaborate with OEMs, Tier1 suppliers, cloud vendors, and AI engineering teams on technical alignment and requirement management
• Promote architecture and requirement definition considering functional safety (ISO 26262) and cybersecurity (ISO/SAE 21434)
• Manage requirement decomposition and traceability from system-level requirements to software specifications
• Drive technical strategies for next-generation in-vehicle UX and AI agent integration

［応募条件］ Requirements　

■必須要件■ Must Have

• SDV、車載ソフトウェア、または自動車電子システム開発経験
• システムアーキテクチャ設計および要件定義の実務経験
• Linux、AUTOSAR、Android Automotive等の理解
• クラウド連携アーキテクチャ（AWS/Azure/GCP等）の知識
• AI/MLシステム、特に画像認識・生成AI関連技術への理解
• CAN、Ethernet、SOME/IP、DDS等の車載通信技術の知識
• 英語による技術コミュニケーション能力
• ソフトウェアライフサイクル、CI/CD、DevOps/MLOpsの理解
• 複数ステークホルダーを横断してプロジェクト推進できる能力

• Experience in SDV, automotive software, or automotive electronic systems development
• Hands-on experience in system architecture design and requirement engineering
• Strong understanding of Linux, AUTOSAR, Android Automotive platforms
• Knowledge of cloud-connected architecture using AWS, Azure, or GCP
• Understanding of AI/ML systems, especially computer vision and Generative AI technologies
• Knowledge of in-vehicle communication technologies such as CAN, Ethernet, SOME/IP, and DDS
• Business-level communication skills in English for technical discussions
• Understanding software lifecycle management, CI/CD, DevOps, and MLOps practices
• Ability to drive projects across multiple stakeholders and organizations

■尚可要件■ Good to Have

• ADAS/AD、車載カメラ、LiDAR、Driver Monitoring System開発経験
• LLM、マルチモーダルAI、エージェントAI活用経験
• CUDA、TensorRT、NVIDIA DRIVE等のエッジAI基盤知識
• デジタルツインやシミュレーション環境（CARLA、SVL等）の活用経験
• OTA基盤、ソフトウェア配信、Vehicle Cloud運用経験
• ISO 26262、ASPICE、ISO/SAE 21434対応経験
• Kubernetes、Docker、Data Lake等クラウドネイティブ技術の知識
• Python/C++によるプロトタイプ開発経験
• 自動車OEMまたはTier1との共同開発経験
• 日本語・英語のバイリンガル環境での業務経験

• Experience in ADAS/AD, automotive camera systems, LiDAR, or Driver Monitoring Systems
• Experience with LLMs, multimodal AI, or AI agent technologies
• Knowledge of edge AI platforms such as CUDA, TensorRT, and NVIDIA DRIVE
• Experience with OTA platforms, software deployment systems, and vehicle cloud operations
• Experience with ISO 26262, ASPICE, and ISO/SAE 21434 compliance activities
• Knowledge of cloud-native technologies including Kubernetes, Docker, and Data Lake architecture
• Experience in prototyping using Python and/or C++
• Experience collaborating with automotive OEMs or Tier1 suppliers
• Experience working in bilingual Japanese-English engineering environments

■語学力■ Language Skill

• 英語 – ビジネスレベル（TOEICスコア：750点以上 *推定）
• 日本語力 – ネイティブレベル、又はJLPT N２又はそれ以上

• English – Business Level (TOEIC score: over 750 *Estimate)
• Japanese – Native Level or JLPT N2 or above

[待遇・福利厚生]

◆昇給年1回 ※契約社員は更新のタイミングで見直しあり

◆通勤手当（上限2万円/月）

◆給与詳細：完全年俸制（1/12を毎月支給）

◆残業手当　

◆各種社会保険完備

・ 厚生年金

・ 健康保険（TJK : 東京都情報サービス産業健康保険組合）

・ 雇用保険

・ 労働者災害補償保険

◆健康診断（被扶養者健康診断、人間ドック、婦人科健診など）　

◆65歳定年制 ※役職定年なし（定年後もコンサルタントとして引続き雇用する可能性あり）

◆社内研修制度（オンライン）

◆試用期間3ヶ月、業務・待遇変更なし

◆受動喫煙防止対策：あり（屋内禁煙）

[Welfare]

◆ Salary increment once a year

◆ Commuting allowance (up to 20,000/month)

◆ Salary details: Full annual salary system (1/12 paid monthly)

◆ Overtime allowance

◆ Equipped with various social insurance

・ Welfare pension

・ Health insurance (Tokyo Information Service Industry Health Insurance Association)

・ Employment insurance

・ Worker's Accident Compensation Insurance

◆ Health checkup (health checkup for dependents, medical checkup, gynecological checkup, etc.)

◆ Retirement age is 65 years old *No retirement age for positions

◆ Referral recruitment system (with benefits)

◆ In-house training system (online)

◆ Trial period: 3 months, no change in duties or benefits

◆ Measures to prevent passive smoking: Yes (no smoking indoors)

 [休日休暇]

◆年間休日120日以上

◆完全週休2日制（土・日）

◆祝日

◆年末年始休暇

◆有給休暇

◆産前産後休暇

◆育児休暇

◆介護休暇

◆忌引休暇　

※常駐先の業務にともなって休日・休暇は変動の可能性があります。すべて大手メーカーのため、年次休暇などは充実している場合がほとんどです。

[Vacations]

◆ Total holidays: over 120 days off per year

◆ 2-day weekend system (Saturday and Sunday)

◆ National Holidays

◆ New Year holidays

◆ Paid vacation

◆ Prenatal and post-natal leave

◆ Childcare leave

◆ Nursing care leave

◆ Bereavement leave

*Holidays and vacation days may change depending on the work place you are stationed. Since they are all major manufacturers, most have generous annual vacations